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“Literary criticism typically tends to emphasize the singularity of exceptional works that have stood the test of time. But the canon, Mr. Moretti argues, is a distorted sample. Instead, he says, scholars need to consider the tens of thousands of books that have been forgotten, a task that computer algorithms and enormous digitized databases have now made possible.

“We know how to read texts,” he wrote in a much-quoted essay included in his book “Distant Reading,” which won the 2014 National Book Critics Circle Award for Criticism. “Now let’s learn how to not read them.””

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"Wikipedia is one of the world’s most popular websites, but scientists rarely cite it in their papers. Despite this, the online encyclopedia seems to be shaping the language that researchers use in papers, according to an experiment showing that words and phrases in recently published Wikipedia articles subsequently appeared more frequently in scientific papers"
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“Thompson and co-author Douglas Hanley, an economist at the University of Pittsburgh in Pennsylvania, commissioned PhD students to write 43 chemistry articles on topics that weren’t yet on Wikipedia. In January 2015, they published a randomized set of half of the articles to the site. The other half, which served as control articles, weren’t uploaded.
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Using text-mining techniques to measure the frequency of words, they found that the language in the scientific papers drifted over the study period as new terms were introduced into the field. This natural drift equated to roughly one new term for every 250 words, Thompson told Nature. On top of those natural changes in language over time, the authors found that, on average, another 1 in every 300 words in a scientific paper was influenced by language in the Wikipedia article.”

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“Bill Hart-Davidson, MSU’s associate dean for graduate education, suggests that the likely answer is “text-mining,” the use of computer programs to analyze large collections of documents to generate data. When I called Hart-Davidson, I suggested that the East Lansing Sci-Hub scraper might be someone from his own research team. But he laughed and said that he had no idea who it was. But he understands why the scraper goes to Sci-Hub even though MSU subscribes to the downloaded ” “}}